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<main>
<article id="content">
<header>
<h1 class="title">Module <code>silk.backbones.abstract.shared_backbone_multiple_heads</code></h1>
</header>
<section id="section-intro">
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python"># Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.

# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.

from typing import Tuple, Union

import torch
from silk.backbones.silk.coords import (
    CoordinateMappingComposer,
    CoordinateMappingProvider,
)
from silk.flow import AutoForward
from silk.flow import Flow
from silk.transforms.abstract import MixedModuleDict


class SharedBackboneMultipleHeads(
    AutoForward,
    torch.nn.Module,
):
    def __init__(
        self,
        backbone,
        input_name: str,
        backbone_output_name: Union[str, Tuple[str]],
    ) -&gt; None:
        torch.nn.Module.__init__(self)
        AutoForward.__init__(
            self,
            Flow(input_name),
            default_outputs=backbone_output_name,
        )

        self._input_name = input_name
        self._backbone_output_name = backbone_output_name
        self._backbone = backbone

        # handle coordinate mappings
        self._coordinate_mappings_composer = CoordinateMappingComposer()
        assert isinstance(self._backbone, CoordinateMappingProvider)
        
        if self.is_multi_backbone_outputs:
            assert len(self._backbone_output_name) == len(self._backbone.mappings())

            for i, mapping in enumerate(self._backbone.mappings()):
                self._coordinate_mappings_composer.set(
                    self._input_name,
                    self._backbone_output_name[i],
                    mapping,
                )
        else:
            self._coordinate_mappings_composer.set(
                self._input_name,
                self._backbone_output_name,
                self._backbone.mappings(),
            )

        # self._coordinate_mappings: Dict[str, CoordinateMapping],
        self.flow.define_transition(backbone_output_name, self.backbone, input_name)

        self._heads = MixedModuleDict()

    @property
    def coordinate_mapping_composer(self):
        return self._coordinate_mappings_composer

    @property
    def backbone(self):
        return self._backbone

    @property
    def is_multi_backbone_outputs(self):
        return not isinstance(self.backbone_output_name, str)

    @property
    def heads(self):
        return self._heads

    @property
    def head_names(self):
        return tuple(self._heads.keys())

    @property
    def backbone_output_name(self):
        return self._backbone_output_name

    @property
    def input_name(self):
        return self._input_name

    def add_head_to_backbone_output(self, head_name, head, backbone_output_name=None):
        if backbone_output_name is None:
            if self.is_multi_backbone_outputs:
                raise RuntimeError(
                    f&#34;the backbone has {len(self.backbone_output_name)} outputs {self.backbone_output_name} and one should be set using the `backbone_output_name` parameter&#34;
                )
            backbone_output_name = self.backbone_output_name
        elif not isinstance(backbone_output_name, str):
            raise RuntimeError(
                &#34;invalid type for `backbone_output_name` parameter, should be a string&#34;
            )

        # check existing head
        if head_name in self.heads:
            raise RuntimeError(f&#34;head &#39;{head_name}&#39; has already been added&#34;)

        if not isinstance(head, CoordinateMappingProvider):
            raise RuntimeError(
                f&#34;head &#39;{head_name}&#39; should sub-class `CoordinateMappingProvider`&#34;
            )

        self.heads[head_name] = head
        self.flow.define_transition(head_name, head, backbone_output_name)
        self._coordinate_mappings_composer.set(
            backbone_output_name,
            head_name,
            head.mappings(),
        )

    def add_head(self, head_name, head):
        self.add_head_to_backbone_output(head_name, head)

    def add_heads(self, **heads):
        # add heads and make them accessible to flow
        for name, head in heads.items():
            self.add_head(name, head)</code></pre>
</details>
</section>
<section>
</section>
<section>
</section>
<section>
</section>
<section>
<h2 class="section-title" id="header-classes">Classes</h2>
<dl>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads"><code class="flex name class">
<span>class <span class="ident">SharedBackboneMultipleHeads</span></span>
<span>(</span><span>backbone, input_name: str, backbone_output_name: Union[str, Tuple[str]])</span>
</code></dt>
<dd>
<div class="desc"><p>Base class for all neural network modules.</p>
<p>Your models should also subclass this class.</p>
<p>Modules can also contain other Modules, allowing to nest them in
a tree structure. You can assign the submodules as regular attributes::</p>
<pre><code>import torch.nn as nn
import torch.nn.functional as F

class Model(nn.Module):
    def __init__(self):
        super().__init__()
        self.conv1 = nn.Conv2d(1, 20, 5)
        self.conv2 = nn.Conv2d(20, 20, 5)

    def forward(self, x):
        x = F.relu(self.conv1(x))
        return F.relu(self.conv2(x))
</code></pre>
<p>Submodules assigned in this way will be registered, and will have their
parameters converted too when you call :meth:<code>to</code>, etc.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>As per the example above, an <code>__init__()</code> call to the parent class
must be made before assignment on the child.</p>
</div>
<p>:ivar training: Boolean represents whether this module is in training or
evaluation mode.
:vartype training: bool</p>
<p>Initializes internal Module state, shared by both nn.Module and ScriptModule.</p></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">class SharedBackboneMultipleHeads(
    AutoForward,
    torch.nn.Module,
):
    def __init__(
        self,
        backbone,
        input_name: str,
        backbone_output_name: Union[str, Tuple[str]],
    ) -&gt; None:
        torch.nn.Module.__init__(self)
        AutoForward.__init__(
            self,
            Flow(input_name),
            default_outputs=backbone_output_name,
        )

        self._input_name = input_name
        self._backbone_output_name = backbone_output_name
        self._backbone = backbone

        # handle coordinate mappings
        self._coordinate_mappings_composer = CoordinateMappingComposer()
        assert isinstance(self._backbone, CoordinateMappingProvider)
        
        if self.is_multi_backbone_outputs:
            assert len(self._backbone_output_name) == len(self._backbone.mappings())

            for i, mapping in enumerate(self._backbone.mappings()):
                self._coordinate_mappings_composer.set(
                    self._input_name,
                    self._backbone_output_name[i],
                    mapping,
                )
        else:
            self._coordinate_mappings_composer.set(
                self._input_name,
                self._backbone_output_name,
                self._backbone.mappings(),
            )

        # self._coordinate_mappings: Dict[str, CoordinateMapping],
        self.flow.define_transition(backbone_output_name, self.backbone, input_name)

        self._heads = MixedModuleDict()

    @property
    def coordinate_mapping_composer(self):
        return self._coordinate_mappings_composer

    @property
    def backbone(self):
        return self._backbone

    @property
    def is_multi_backbone_outputs(self):
        return not isinstance(self.backbone_output_name, str)

    @property
    def heads(self):
        return self._heads

    @property
    def head_names(self):
        return tuple(self._heads.keys())

    @property
    def backbone_output_name(self):
        return self._backbone_output_name

    @property
    def input_name(self):
        return self._input_name

    def add_head_to_backbone_output(self, head_name, head, backbone_output_name=None):
        if backbone_output_name is None:
            if self.is_multi_backbone_outputs:
                raise RuntimeError(
                    f&#34;the backbone has {len(self.backbone_output_name)} outputs {self.backbone_output_name} and one should be set using the `backbone_output_name` parameter&#34;
                )
            backbone_output_name = self.backbone_output_name
        elif not isinstance(backbone_output_name, str):
            raise RuntimeError(
                &#34;invalid type for `backbone_output_name` parameter, should be a string&#34;
            )

        # check existing head
        if head_name in self.heads:
            raise RuntimeError(f&#34;head &#39;{head_name}&#39; has already been added&#34;)

        if not isinstance(head, CoordinateMappingProvider):
            raise RuntimeError(
                f&#34;head &#39;{head_name}&#39; should sub-class `CoordinateMappingProvider`&#34;
            )

        self.heads[head_name] = head
        self.flow.define_transition(head_name, head, backbone_output_name)
        self._coordinate_mappings_composer.set(
            backbone_output_name,
            head_name,
            head.mappings(),
        )

    def add_head(self, head_name, head):
        self.add_head_to_backbone_output(head_name, head)

    def add_heads(self, **heads):
        # add heads and make them accessible to flow
        for name, head in heads.items():
            self.add_head(name, head)</code></pre>
</details>
<h3>Ancestors</h3>
<ul class="hlist">
<li><a title="silk.flow.AutoForward" href="../../flow.html#silk.flow.AutoForward">AutoForward</a></li>
<li>torch.nn.modules.module.Module</li>
</ul>
<h3>Class variables</h3>
<dl>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.dump_patches"><code class="name">var <span class="ident">dump_patches</span> : bool</code></dt>
<dd>
<div class="desc"></div>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.training"><code class="name">var <span class="ident">training</span> : bool</code></dt>
<dd>
<div class="desc"></div>
</dd>
</dl>
<h3>Instance variables</h3>
<dl>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone"><code class="name">var <span class="ident">backbone</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def backbone(self):
    return self._backbone</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone_output_name"><code class="name">var <span class="ident">backbone_output_name</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def backbone_output_name(self):
    return self._backbone_output_name</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.coordinate_mapping_composer"><code class="name">var <span class="ident">coordinate_mapping_composer</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def coordinate_mapping_composer(self):
    return self._coordinate_mappings_composer</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.head_names"><code class="name">var <span class="ident">head_names</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def head_names(self):
    return tuple(self._heads.keys())</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.heads"><code class="name">var <span class="ident">heads</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def heads(self):
    return self._heads</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.input_name"><code class="name">var <span class="ident">input_name</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def input_name(self):
    return self._input_name</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.is_multi_backbone_outputs"><code class="name">var <span class="ident">is_multi_backbone_outputs</span></code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">@property
def is_multi_backbone_outputs(self):
    return not isinstance(self.backbone_output_name, str)</code></pre>
</details>
</dd>
</dl>
<h3>Methods</h3>
<dl>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head"><code class="name flex">
<span>def <span class="ident">add_head</span></span>(<span>self, head_name, head)</span>
</code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def add_head(self, head_name, head):
    self.add_head_to_backbone_output(head_name, head)</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head_to_backbone_output"><code class="name flex">
<span>def <span class="ident">add_head_to_backbone_output</span></span>(<span>self, head_name, head, backbone_output_name=None)</span>
</code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def add_head_to_backbone_output(self, head_name, head, backbone_output_name=None):
    if backbone_output_name is None:
        if self.is_multi_backbone_outputs:
            raise RuntimeError(
                f&#34;the backbone has {len(self.backbone_output_name)} outputs {self.backbone_output_name} and one should be set using the `backbone_output_name` parameter&#34;
            )
        backbone_output_name = self.backbone_output_name
    elif not isinstance(backbone_output_name, str):
        raise RuntimeError(
            &#34;invalid type for `backbone_output_name` parameter, should be a string&#34;
        )

    # check existing head
    if head_name in self.heads:
        raise RuntimeError(f&#34;head &#39;{head_name}&#39; has already been added&#34;)

    if not isinstance(head, CoordinateMappingProvider):
        raise RuntimeError(
            f&#34;head &#39;{head_name}&#39; should sub-class `CoordinateMappingProvider`&#34;
        )

    self.heads[head_name] = head
    self.flow.define_transition(head_name, head, backbone_output_name)
    self._coordinate_mappings_composer.set(
        backbone_output_name,
        head_name,
        head.mappings(),
    )</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_heads"><code class="name flex">
<span>def <span class="ident">add_heads</span></span>(<span>self, **heads)</span>
</code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def add_heads(self, **heads):
    # add heads and make them accessible to flow
    for name, head in heads.items():
        self.add_head(name, head)</code></pre>
</details>
</dd>
<dt id="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.forward"><code class="name flex">
<span>def <span class="ident">forward</span></span>(<span>self, *args, **kwargs) ‑> Callable[..., Any]</span>
</code></dt>
<dd>
<div class="desc"></div>
<details class="source">
<summary>
<span>Expand source code</span>
</summary>
<pre><code class="python">def forward(self, *args, **kwargs):
    if self._forward_flow is None:
        self._forward_flow = self._flow.with_outputs(self._default_outputs)
    return self._forward_flow(*args, **kwargs)</code></pre>
</details>
</dd>
</dl>
</dd>
</dl>
</section>
</article>
<nav id="sidebar">
<h1>Index</h1>
<div class="toc">
<ul></ul>
</div>
<ul id="index">
<li><h3>Super-module</h3>
<ul>
<li><code><a title="silk.backbones.abstract" href="index.html">silk.backbones.abstract</a></code></li>
</ul>
</li>
<li><h3><a href="#header-classes">Classes</a></h3>
<ul>
<li>
<h4><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads">SharedBackboneMultipleHeads</a></code></h4>
<ul class="">
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head">add_head</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head_to_backbone_output" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_head_to_backbone_output">add_head_to_backbone_output</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_heads" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.add_heads">add_heads</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone">backbone</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone_output_name" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.backbone_output_name">backbone_output_name</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.coordinate_mapping_composer" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.coordinate_mapping_composer">coordinate_mapping_composer</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.dump_patches" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.dump_patches">dump_patches</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.forward" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.forward">forward</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.head_names" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.head_names">head_names</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.heads" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.heads">heads</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.input_name" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.input_name">input_name</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.is_multi_backbone_outputs" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.is_multi_backbone_outputs">is_multi_backbone_outputs</a></code></li>
<li><code><a title="silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.training" href="#silk.backbones.abstract.shared_backbone_multiple_heads.SharedBackboneMultipleHeads.training">training</a></code></li>
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